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Mastering Machine Learning Operations (MLOPS) and AI Security Boot Camp
TTAI2810
Ensure seamless deployment against threats with MLOps and AI Security Boot Camp.
TTAI2810, Mastering Machine Learning Operations (MLOps) And AI Security Boot Camp, is a 03-day expert-led course by Vinsys that lets you delve into the dynamic realm of MLOps and AI Securit
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Mastering Machine Learning Operations (MLOPS)
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Mastering Machine Learning Operations (MLOPS) And AI Security Boot Camp (TTAI2810)
The course is an extensive learning experience where you will emphasize safeguarding AI systems against potential vulnerabilities. It is especially dependent on the AI contemporary infrastructures for you to acquire proficiency in domains that empower you to streamline machine learning initiatives. Learners will cultivate a fundamental grasp of both MLOps and AI Security, differentiate it from DevOps and DataOps, explore lifecycle stages, and unravel its significance. The course will guide you in examining MLOps tools like Kubeflow and MLflow, dissecting pipeline components, and embracing best practices.You will learn to establish an MLOps environment, automate ML workflows, implement crucial security measures in real-world scenarios, and monitor models. The boot camp course is loaded with advanced AI Security topics like AI privacy, ethical considerations, strategies against threats and vulnerabilities, initiatives, defensive measures, and more. The course will provide you access to the hands-on lab on model management, model versioning, rollback, continuous integration and continuous deployment in machine learning, implementing differential privacy, defense measures against sample adversarial attacks, and more. Upon successful completion of the course, you will be able to acquire hands-on proficiency in operationalizing and securing machine learning workflows and comprehend ethical nuances in AI Security.
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Course Objectives:
Throughout this hands-on learning experience facilitated by our experts, you will achieve the following course objectives:
- Understand the need for the MLOps lifecycle, including its purpose, key elements, and differentiating elements related to fields like DevOps and DataOps.
- Master the art of automating machine learning workflows.
- Gain insights on MLflow, Kubeflow, and MLOps environment.
- Apply ethical principles in AI Security.
- Hands-on experience in using key MLOps tools and techniques.
- Setting yourself up with an AI Security Landscape.
- Explore threat identification techniques and their applications.
- Implement differential privacy policies.
- Integrate with continuous development and deployment in machine learning.
- Explore advanced AI concepts on security and privacy in machine learning models.
- Defend against adversarial attacks.
- Balance technical implementation of the tasks in the AI Security Framework.
- Develop a well-rounded approach to AI Security.
- Walk through a simple MLflow.
- Experiment with model versioning and rollback
Audience
This is an intermediate-level course tailored to the specific needs of professionals seeking to enhance their expertise in machine learning and AI Security. Key roles that stand to gain significant benefits from the course include-
• The immersive learning experience is well suited for professionals in the role of Data Scientists, Machine Learning Engineers, IT Security Professionals, and DataOps Engineers.
• Additionally, technical leaders and managers overseeing machine learning projects at their organization can opt for the course.
• Individuals working as a contributor in managerial roles can strengthen their knowledge and proficiency in the evolving landscape of machine learning.
Course Outline
Module 1. Introduction to MLOps
• Understanding the need for MLOps
• Differences between MLOps, DevOps, and DataOps
• MLOps lifecycle overview
Module 2. MLOps Tools and Techniques
- Overview of MLOps tools (MLflow, Kubeflow, etc.)
- MLOps pipeline components
- MLOps best practices
- Hands-on Lab: Setting Up an MLOps Environment using MLflow
- Walking through a simple machine-learning pipeline
Module 3. Automating Machine Learning Workflows
- The role of automation in MLOps
- Continuous Integration and Continuous Deployment (CI/CD) in machine learning
- Hands-on Lab: Automating ML workflows
Module 4. Model Monitoring and Management
- Understanding model decay
- Monitoring model performance in production
- Model versioning and rollback
- Hands-on Lab: Model Management
- Implementing model monitoring with MLflow
- Experimenting with model versioning and rollback
Module 5. Introduction to AI Security
- Understanding the need for AI Security
- Overview of AI Threat Landscape
- AI Security best practices
- Hands-on Lab: Implementing basic security measures in a machine learning environment
Module 6. AI Privacy and Ethical Considerations (2 hours)
- Privacy risks in AI/ML applications
- Understanding differential privacy
- Ethical Considerations in AI Security
- Hands-on Lab: Implementing differential privacy in a machine learning model
Module 7. AI Adversarial Attacks and Defenses
- Understanding adversarial attacks
- Techniques to defend against adversarial attacks
- Hands-on Lab: Defending Against Adversarial Attacks
- Implementing defense measures against sample adversarial attacks
Choose Your Preferred Mode
Online Training
- 4/5 Days Instructor-led Online Training
- Experienced Subject Matter Experts
- Access to PMI authorized PMP course contents
- Vinsys Training Material
- 24*7 learner assistance and support
Corporate Training
- Customized Training Across Various Domains
- Instructor Led Skill Development Program
- Ensure Maximum ROI for Corporates
- 24*7 Learner Assistance and Support
FAQ’s
What is the course duration?
TTAI2810, Mastering Machine Learning Operations (MLOps) And AI Security Boot Camp, is a 03-day expert-led course by Vinsys.
What is the course code to access the Machine Learning Security course?
The course code through which it can be accessed is TTAI2810.
Why should I enroll in this course by Vinsys?
Mastering Machine Learning Operations (MLOps) And AI Security Boot Camp is a hands-on course experience crafted by Vinsys experts. Their assistance will help you enhance your learning through the hands-on lab sessions to acquire skills in essential cyber security concepts, Python, AI Security, ML workflows, and other security testing methodologies and approaches in machine learning. Our experts have more than ten years of experience in the field, further ensuring that the lectures are meaningful. You will learn to leverage ML techniques effectively to produce results after enrolling in a course by Vinsys.
Can a beginner enroll in this course?
This is an intermediate course suitable for those seeking to deepen their understanding of ML techniques and secure their applications from potential threats present on the systems. This includes those working majorly in the field of programming language, including Python Developers, DataOps Engineers, IT Security Professionals, Machine Learning Engineers, and more.
How will the course help me in my professional development?
Designed with experts, the course can unlock the potential of hands-on skills in operationalizing and securing machine learning workflows. The course directly applies to enhance professional machine learning capabilities.
How is the course program carried out at Vinsys?
Our courses are delivered through instructor-led training (ILT), private group training, and virtual instructor-led training (vLIT). We boost your odds of success by helping you prepare for required exams and earn the certification. Effective course material accessed throughout the program makes learning about concepts beyond the class easier. You can choose your learning path to upskill with Vinsys' subject matter experts upon customizing training needs to ensure 100% results.
How will this course help the learners?
The course will help learners establish a seamless integration of machine learning operations, efficient collaboration between data science and operations teams, etc. You will be able to apply for a diverse range of opportunities in the corporate world.
Can learners interact with the instructors?
Yes, learners will have an opportunity to interact with the instructors till the time their confusion and queries are resolved. You can enjoy 24*7 support from Vinsys even after the course completion.
What are the job opportunities after TTAI2810?
There are various options to choose from, including AI/ML System Auditor, AI Product Manager, AI Ethics Specialist, MLOps Engineer, Security Consultant, and more, which help you identify, resolve, analyze, and resolve threats and vulnerabilities faster.
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